Page 235 - Demo

Appendices233AAppendix C: Supplementary Material for Chapter 5Supplementary Table 1 - Model table for the Bayesian mixed model that predicts RT from Pre-date attractiveness rating and Gender.PredictorsRTEstimates CI (95%)Intercept 0.52 -1.18 – 2.22Gender[Female] 0.34 -1.37 – 2.05AttractivenessDistractor 1.44 0.18 – 2.69AttractivenessProbe -1.09 -2.51 – 0.29Gender[Female]: AttractivenessDistractor -0.41 -1.68 – 0.86Gender[Female]: AttractivenessProbe 1.40 -0.02 – 2.82Random Effectsσ2 2588.90τ00 Subject 0.97τ11 Subject:AttractivenessDistractor 7.60τ11 Subject:AttractivenessProbe 13.47N Subject 57Observations 4831Notes: Gender was sum-coded, while Pre-date attractiveness ratings were centered around 4 (the middle option).Supplementary Table 2 - Model table for the Bayesian mixed model that predicts RT from Post-date attractiveness ratings and Gender.PredictorsRTEstimates CI (95%)Intercept 0.36 -1.42 – 2.14Gender[Female] -0.24 -2.06 – 1.64AttractivenessDistractor 1.89 0.66 – 3.11AttractivenessProbe -0.89 -2.44 – 0.63Gender[Female]: AttractivenessDistractor 0.34 -0.89 – 1.59Gender[Female]: AttractivenessProbe 1.16 -0.41 – 2.71Random Effectsσ2 2580.38τ00 Subject 1.29τ11 Subject:AttractivenessDistractor 1.92τ11 Subject:AttractivenessProbe 13.50N Subject 56Observations 3251Notes: Gender was sum-coded, while Post-date attractiveness ratings were centered around 4 (the middle option).Tom Roth.indd 233 08-01-2024 10:42